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GUARANTEEING REAL-TIME RESPONSE WITH LIMITED RESOURCES ARTIFICIAL INTELLIGENCE IN MEDICINE Ash, D., Gold, G., Seiver, A., HAYESROTH, B. 1993; 5 (1): 49-66

Abstract

Unanticipated problems detected by patient-monitoring systems may sometimes require real-time response in order to provide high-quality care and avoid catastrophic outcomes. In this paper, we present an approach for guaranteeing a response to such events by a monitoring agent even in situations where we have limited problem-solving resources. We show that an action-based hierarchy can accomplish this goal. We also analyze the performance of this hierarchy under varying resource availability and discuss decision-theoretic approaches to enable us to best structure such a hierarchy. We also describe an implementation of these ideas, called ReAct, in the BB1 architecture. All the ideas are illustrated with examples from the surgical intensive care unit (SICU).

View details for Web of Science ID A1993KM93300004

View details for PubMedID 8358486